scholarly journals The age of adult pilocytic astrocytoma cells

Oncogene ◽  
2021 ◽  
Vol 40 (16) ◽  
pp. 2830-2841
Author(s):  
Natalia Voronina ◽  
Christian Aichmüller ◽  
Thorsten Kolb ◽  
Andrey Korshunov ◽  
Marina Ryzhova ◽  
...  

AbstractAdult pilocytic astrocytomas (PAs) have been regarded as indistinguishable from pediatric PAs in terms of genome-wide expression and methylation patterns. It has been unclear whether adult PAs arise early in life and remain asymptomatic until adulthood, or whether they develop during adulthood. We sought to determine the age and origin of adult human PAs using two types of “marks” in the genomic DNA. First, we analyzed the DNA methylation patterns of adult and pediatric PAs to distinguish between PAs of different anatomic locations (n = 257 PA and control brain tissues). Second, we measured the concentration of nuclear bomb test-derived 14C in genomic DNA (n = 14 cases), which indicates the time point of the formation of human cell populations. Our data suggest that adult and pediatric PAs developing in the infratentorial brain are closely related and potentially develop from precursor cells early in life, whereas supratentorial PAs might show age and location-specific differences.

Genome ◽  
2007 ◽  
Vol 50 (8) ◽  
pp. 778-785 ◽  
Author(s):  
Amy B. MacKay ◽  
Aizeddin A. Mhanni ◽  
Ross A. McGowan ◽  
Patrick H. Krone

DNA methylation reprogramming, the erasure of DNA methylation patterns shortly after fertilization and their reestablishment during subsequent early development, is essential for proper mammalian embryogenesis. In contrast, the importance of this process in the development of non-mammalian vertebrates such as fish is less clear. Indeed, whether or not any widespread changes in DNA methylation occur at all during cleavage and blastula stages of fish in a fashion similar to that shown in mammals has remained controversial. Here we have addressed this issue by applying the techniques of Southwestern immunoblotting and immunohistochemistry with an anti–5-methylcytosine antibody to the examination of DNA methylation in early zebrafish embryos. These techniques have recently been utilized to demonstrate that development-specific changes in genomic DNA methylation also occur in Drosophila melanogaster and Dictyostelium discoideum , both organisms for which DNA methylation was previously not thought to occur. Our data demonstrate that genome-wide changes in DNA methylation occur during early zebrafish development. Although zebrafish sperm DNA is strongly methylated, the zebrafish genome is not detectably methylated through cleavage and early blastula stages but is heavily remethylated in blastula and early gastrula stages.


2013 ◽  
Vol 70 (3) ◽  
pp. 227-236 ◽  
Author(s):  
A. I. González ◽  
A. Sáiz ◽  
A. Acedo ◽  
M. L. Ruiz ◽  
C. Polanco

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 391-391
Author(s):  
Amber Hogart ◽  
Subramanian S. Ajay ◽  
Hatice Ozel Abaan ◽  
Stacie M. Anderson ◽  
Elliott H. Margulies ◽  
...  

Abstract Abstract 391 DNA methylation is a reversible epigenetic modification that is required for proper mammalian development and is proposed to contribute to the pathogenesis of hematologic diseases including leukemia and bone marrow failure syndromes. Elucidating the pathways and genes regulated by DNA methylation during hematopoiesis may reveal new therapeutic targets for disease. Because the phenotype and activity of hematopoietic stem cells (HSC) and hematopoietic progenitor cells of many different lineages have been defined by both in vitro and in vivo assays, hematopoiesis is an excellent model for investigating epigenomic changes during differentiation. HSCs have the ability to self-renew and to generate blood cells of all lineages, which allows them to repopulate recipients after stem cell transplantation. The common myeloid progenitor (CMP) gives rise to all myeloid cell types including neutrophils, monocytes, platelets, and red blood cells, but cannot self renew or repopulate. In contrast to the multipotent HSC and CMP, erythroblasts (ERY) are terminally committed cells that become mature enucleated red blood cells. These three cell types represent unique stages of lineage commitment with distinct transcriptional programs, and potentially unique epigenomic signatures. In contrast to human HSC, which are defined by the absence of several cell surface markers, mouse HSC have the cell surface phenotype of lineage marker negative (Lin-) c-kit+ Sca-1+ and can be positively selected. For this reason we chose the mouse model for genome-wide methylation profiling. Murine HSC and CMP (Lin- c-kit+ Sca-1-) cells were enriched from adult mouse bone marrow with flow cytometry. Erythroblasts (CD71+/Ter119+) were positively selected from E13.5 mouse fetal livers. Genomic DNA isolated from each enriched cell population was sheared to 200-300 bp fragments. MBD2, one of five endogenous mammalian methyl CpG binding domain proteins, binds methylated DNA sequences with broad affinity. Methylated DNA fragments were enriched from the genomic DNA using a tagged, recombinant MBD2 pulldown kit (Active Motif). After pulldown, enrichment of known methylated sequences regulating the imprints of Snrpn and Rasgrf was validated by qPCR. Two biological replicates of HSC, CMP, and ERY methylated sequences and negative control supernatant fractions were submitted for high-throughput sequencing with the Illumina Genome Analyzer platform. Raw sequence data containing 32-46 × 106 reads of 36-50 base pairs were obtained for each sample. The Eland program was used to map 41-59% of reads to unique sequences in the mouse genome. Model-based Analysis of ChIP-Seq (MACS) was used to estimate the mean and variance of the sequence tag distribution across the genome and define peaks below the significance threshold of p<10-5. The number of methylation peaks decreased as cells differentiated, with 64,000 peaks identified in HSC (24,000 unique), 41,000 peaks in CMP (2000 unique), and 23,000 peaks in ERY (1000 unique). Approximately 20,000 peaks were common between all cell types with 57% of these peaks residing in RefSeq genes, 8% in regions adjacent to RefSeq genes (<10 kb), and 35% of methylation peaks in intergenic regions. Comparison of HSC expression data from Akashi et al (Blood 101: 383, 2003) to our HSC genic methylation peaks revealed that 2/3 of HSC genic peaks are within transcriptionally silent genes while 1/3 of HSC genic peaks are within expressed genes. Although DNA methylation is often associated with gene silencing, the important developmental gene Gata2 contains methylation peaks in HSC and CMP, cells that express Gata2, that are absent in ERY, where Gata2 is repressed. A Gata1-Fog1-Mbd2 complex has been described by Rodriguez et al (EMBO 24: 2354, 2005), therefore providing a link between DNA methylation and proteins known to bind at the Gata2 locus. Grass et al (Mol. Cell. Biol. 26:7056, 2006) determined that Gata2 is regulated by long-range interactions of GATA protein complexes, and consistent with this observation, distinct methylation patterns are observed up to 100 kb upstream of the Gata2 gene. Our genome-wide analysis supports an association of methylation with gene silencing but also suggests that DNA methylation is a dynamic epigenetic mark that influences hematopoietic differentiation. The changes in DNA methylation we observe around Gata2 may also contribute to long-range chromatin organization. Disclosures: No relevant conflicts of interest to declare.


2019 ◽  
Vol 20 (17) ◽  
pp. 4269 ◽  
Author(s):  
Lei Chen ◽  
Tao Zeng ◽  
Xiaoyong Pan ◽  
Yu-Hang Zhang ◽  
Tao Huang ◽  
...  

Breast cancer is regarded worldwide as a severe human disease. Various genetic variations, including hereditary and somatic mutations, contribute to the initiation and progression of this disease. The diagnostic parameters of breast cancer are not limited to the conventional protein content and can include newly discovered genetic variants and even genetic modification patterns such as methylation and microRNA. In addition, breast cancer detection extends to detailed breast cancer stratifications to provide subtype-specific indications for further personalized treatment. One genome-wide expression–methylation quantitative trait loci analysis confirmed that different breast cancer subtypes have various methylation patterns. However, recognizing clinically applied (methylation) biomarkers is difficult due to the large number of differentially methylated genes. In this study, we attempted to re-screen a small group of functional biomarkers for the identification and distinction of different breast cancer subtypes with advanced machine learning methods. The findings may contribute to biomarker identification for different breast cancer subtypes and provide a new perspective for differential pathogenesis in breast cancer subtypes.


2013 ◽  
Vol 33 (16) ◽  
pp. 3150-3165 ◽  
Author(s):  
Anne-Valerie Gendrel ◽  
Y. Amy Tang ◽  
Masako Suzuki ◽  
Jonathan Godwin ◽  
Tatyana B. Nesterova ◽  
...  

TheSmchd1gene encodes a large protein with homology to the SMC family of proteins involved in chromosome condensation and cohesion. Previous studies have found that Smchd1 has an important role in CpG island (CGI) methylation on the inactive X chromosome (Xi) and in stable silencing of some Xi genes. In this study, using genome-wide expression analysis, we showed that Smchd1 is required for the silencing of around 10% of the genes on Xi, apparently independent of CGI hypomethylation, and, moreover, that these genes nonrandomly occur in clusters. Additionally, we found that Smchd1 is required for CpG island methylation and silencing at a cluster of four imprinted genes in the Prader-Willi syndrome (PWS) locus on chromosome 7 and genes from the protocadherin-alpha and -beta clusters. All of the affected autosomal loci display developmentally regulated brain-specific methylation patterns which are lost inSmchd1homozygous mutants. We discuss the implications of these findings for understanding the function of Smchd1 in epigenetic regulation of gene expression.


Sign in / Sign up

Export Citation Format

Share Document